diff options
| author | Gian Marco Iodice <gianmarco.iodice@arm.com> | 2017-07-03 12:33:49 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-09-17 14:15:39 +0100 |
| commit | 368da83fdd7406d629e8cca64f3eb0af05437419 (patch) | |
| tree | fadac4142651cb0f86b997c06cbabb1bec622aae /tests/validation/CL/ConvolutionLayer.cpp | |
| parent | adffa30de9292c96bf29ff0697ac573270046612 (diff) | |
| download | ComputeLibrary-368da83fdd7406d629e8cca64f3eb0af05437419.tar.gz | |
COMPMID-420, COMPMID-414 - Port CLConvolutionLayer and CLFullyConnectedLayer to use 8 bit fixed point
Change-Id: I1cb1b4d7711ad7b569ee691e13a5df1b3430292b
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/79565
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Diffstat (limited to 'tests/validation/CL/ConvolutionLayer.cpp')
| -rw-r--r-- | tests/validation/CL/ConvolutionLayer.cpp | 35 |
1 files changed, 34 insertions, 1 deletions
diff --git a/tests/validation/CL/ConvolutionLayer.cpp b/tests/validation/CL/ConvolutionLayer.cpp index fb06dd4d06..f613f77e5e 100644 --- a/tests/validation/CL/ConvolutionLayer.cpp +++ b/tests/validation/CL/ConvolutionLayer.cpp @@ -47,6 +47,7 @@ using namespace arm_compute::test::validation; namespace { const float tolerance_f32 = 1e-03f; /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */ +const float tolerance_qs8 = 1.0f; /**< Tolerance value for comparing reference's output against implementation's output for DataType::QS8 */ CLTensor compute_convolution_layer(const TensorShape &input_shape, const TensorShape &weights_shape, const TensorShape &bias_shape, const TensorShape &output_shape, DataType dt, const PadStrideInfo &conv_info, int fixed_point_position) @@ -101,7 +102,7 @@ BOOST_AUTO_TEST_SUITE(GEMM) BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly")) BOOST_DATA_TEST_CASE(Configuration, - AlexNetConvolutionLayerDataset() * boost::unit_test::data::make({ DataType::F32 }), + AlexNetConvolutionLayerDataset() * boost::unit_test::data::make({ DataType::F32, DataType::QS8 }), conv_set, dt) { // Set fixed point position data type allowed @@ -185,6 +186,38 @@ BOOST_DATA_TEST_CASE(LargeConvolutionLayer, } BOOST_AUTO_TEST_SUITE_END() +BOOST_AUTO_TEST_SUITE(Quantized) +BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit")) +BOOST_DATA_TEST_CASE(SmallConvolutionLayer, + SmallConvolutionLayerDataset() * boost::unit_test::data::make(DataType::QS8) * boost::unit_test::data::xrange(4, 7), + conv_set, dt, fixed_point_position) +{ + // Compute function + CLTensor dst = compute_convolution_layer(conv_set.src_shape, conv_set.weights_shape, conv_set.bias_shape, conv_set.dst_shape, dt, conv_set.info, fixed_point_position); + + // Compute reference + RawTensor ref_dst = Reference::compute_reference_convolution_layer(conv_set.src_shape, conv_set.weights_shape, conv_set.bias_shape, conv_set.dst_shape, dt, conv_set.info, fixed_point_position); + + // Validate output + validate(CLAccessor(dst), ref_dst, tolerance_qs8); +} + +BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly")) +BOOST_DATA_TEST_CASE(LargeConvolutionLayer, + AlexNetConvolutionLayerDataset() * boost::unit_test::data::make(DataType::QS8) * boost::unit_test::data::xrange(4, 7), + conv_set, dt, fixed_point_position) +{ + // Compute function + CLTensor dst = compute_convolution_layer(conv_set.src_shape, conv_set.weights_shape, conv_set.bias_shape, conv_set.dst_shape, dt, conv_set.info, fixed_point_position); + + // Compute reference + RawTensor ref_dst = Reference::compute_reference_convolution_layer(conv_set.src_shape, conv_set.weights_shape, conv_set.bias_shape, conv_set.dst_shape, dt, conv_set.info, fixed_point_position); + + // Validate output + validate(CLAccessor(dst), ref_dst, tolerance_qs8); +} +BOOST_AUTO_TEST_SUITE_END() + BOOST_AUTO_TEST_SUITE_END() BOOST_AUTO_TEST_SUITE_END() BOOST_AUTO_TEST_SUITE_END() |